Table 3.

A summary of all the reviewed methods.

Method	Precision	Recall	F1	IoU	Accuracy	Sens.	Spec	AUC	Training Set	Testing Set
[8]	90.61	91.04	90.82	-	-	-	-	-	SUN, PICCOLO Widefield	ETIS -Larib
[13]	92.30	-	92.40	-	-	-	-	-	EndoScene, Kvasir-SEG	EndoScene, Kvasir-SEG
[10]	94.9	96.9	95.9	-	-	-	-	-	CVC-ClinicDB, ETIS-Larib, Kvasir-SEG	Private dataset
[9]	100	99.20	99.60	-	-	-	-	-	CVC-ClincDB	CVC-ColonDB, ETIS-Larib
[14]	87.4	84.4	85.9	-	-	-	-	-	ASU-Mayo	ASU-Mayo
[58]	-	-	-	-	92%	-	-	-	University of Leeds dataset	University of Leeds dataset
[82]	98.6	98.01	-	-	-	-	-	-	Private dataset, Kvasir-SEG	Private dataset, Kvasir-SEG
[11]	78.5	78.8	78.6	-	-	-	-	-	Private dataset	Private dataset
[86]	-	-	88.0	84.2	-	-	-	-	Kvasir-SEG, CVC-ClinicDB	CVC-ColonDB, ETIS-Larib, EndoScene
[89]	-	-	97.4	-	-	97.4	60.3	91.7	Private dataset	Private dataset
[90]	-	-	-	-	-	-	-	83.0	Cancer Imaging Archive	Cancer Imaging Archive
[91]	-	-	-	-	84.8%	80.7	87.3	-	Private dataset	Private dataset
[93]	91.9	89.0	90.0	-	-	-	-	-	Kvasir-SEG	CVC-ClinicDB, ETIS-Larib
[16]	89.0	87.0	88.0	-	-	-	-	-	Private dataset	Private dataset
[94]	-	-	-	-	-	82.0	85.0	91.0	Private dataset	Private dataset
[95]	83.6	73.1	78.0	-	-	-	-	-	CVC-ClinicDB, ETIS-Larib, CVC-ClinicVideoDB	CVC-Clinic, ETIS-Larib, CVC-ClinicVideo
[96]	-	-	-	81.7	-	-	-	-	CVC-ClinicDB, CVC-ColonDB, ETIS-Larib	CVC-Clinic, CVC-ColonDB, ETIS-Larib
[97]	80.53	73.56	76.88	-	-	-	-	-	Kvasir-SEG, CVC-ClinicDB, CVC-ColonDB	Kvasir-SEG, CVC-Clinic, CVC-ColonDB
[98]	92.60	80.70	86.24	-	-	-	-	-	CVC-ClinicDB, CVC-VideoClinicDB	ETIS-Larib
[12]	93.45	-	89.65	-	-	86.14	85.32	-	SUN, Kvasir-SEG	SUN, Kvasir-SEG